代码搜索：Centers
找到约 544 项符合「Centers」的源代码
代码结果 544
www.eeworm.com/read/219035/7147301
m hex_centers.m
function [vCx, vCy] = hex_centers(a, tri_size1, tri_size2, type)
% [xCenters, yCenters] = HEX_CENTERS(a, firstRing, lastRing, type)
% Calculates the coordinates of points on a hexagonal lattice
% a
www.eeworm.com/read/433114/8545662
m centers_from_edges.m
function variates=centers_from_edges(edges)
% Compute variates from edges of a histogram or PDF
%
% Written by: E. R.: July 7, 2003
% Last updated: July 30, 2007: Handle inf values at one or both en
www.eeworm.com/read/351647/10633101
pdf regional_registration_centers.pdf
www.eeworm.com/read/271955/4220216
c rq_fpml_business_centers.c
/*
** rq_fpml_business_centers.c
**
** Written by Brett Hutley - brett@hutley.net
**
** Copyright (C) 2002 Brett Hutley
**
** This file is part of the Risk Quantify Library
**
** Risk Quantify is free
www.eeworm.com/read/271955/4220370
h rq_fpml_business_centers.h
/*
** rq_fpml_business_centers.h
**
** Written by Brett Hutley - brett@hutley.net
**
** Copyright (C) 2002 Brett Hutley
**
** This file is part of the Risk Quantify Library
**
** Risk Quantify is free
www.eeworm.com/read/221024/14775150
edu^centers^ http:^^www.engr.wisc.edu^centers^
Date: Wed, 11 Dec 1996 23:15:55 GMT
Server: NCSA/1.5
Content-type: text/html
Research Centers
www.eeworm.com/read/188324/8549680
m stmak.m
function st = stmak(centers,coefs,type,interv)
%STMAK Put together a function in stform.
%
% ST = STMAK(CENTERS, COEFS) stores into ST the stform of
% the function
%
% x |--> sum_j
www.eeworm.com/read/221024/14775765
edu^centers^wcsar^ http:^^www.engr.wisc.edu^centers^wcsar^
Date: Wed, 11 Dec 1996 23:49:50 GMT
Server: NCSA/1.5
Content-type: text/html
Wisconsin Center for Space Automation and Robotics
www.eeworm.com/read/428849/8834924
m kmeans.m
function [model,y] = kmeans(X,num_centers,Init_centers)
% KMEANS K-means clustering algorithm.
%
% Synopsis:
% [model,y] = kmeans(X,num_centers)
% [model,y] = kmeans(X,num_centers,Init_centers)
%
%
www.eeworm.com/read/428849/8834979
m~ kmeans.m~
function [model,y] = kmeans(X,num_centers,Init_centers)
% KMEANS K-means clustering algorithm.
%
% Synopsis:
% [model,y] = kmeans(X,num_centers)
% [model,y] = kmeans(X,num_centers,Init_centers)
%
%